Business Context
业务场景理解
Translate business goals, processes and roles into deployable AI scenarios.
ENTERPRISE AI SOLUTIONS 企业AI整体方案
AI that enters
the real business.
AI for real business. 让 AI 真正进入业务
让AI从业务问题出发，真正进入企业流程与岗位使用。
Sichuan Zhixiang Interactive Technology Co., Ltd. helps complex organizations turn AI ambition into trusted, integrated and operating business capability.
04Core capabilities
四项核心能力
四项核心能力
Built for complex organizations 面向复杂组织的可信交付
Private deployment本地化部署Role-based access权限分级Human-in-the-loop人工复核Audit-ready delivery可审计交付Bilingual delivery中英双语服务
WHAT WE DO 我们是谁
Not a standalone AI tool.
A complete path to adoption.
We work from business targets through capability design, system integration and ongoing operations—so AI becomes a dependable part of everyday work.
不是交付一个孤立的AI产品，而是为企业构建可持续使用、可管理、可创造价值的AI能力。
AI Capability
AI能力构建
Build reusable data, knowledge, model, agent and workflow capabilities.
System Integration
系统集成交付
Connect existing systems, permissions and business data without creating new silos.
Operations Service
持续运营服务
Monitor adoption, human review and measurable value after go-live.
WHY IT MATTERS 为什么需要整体方案
Enterprise AI is not short of AI.
It is short of dedicated capability.
企业缺少的不是 AI，而是既懂业务、又能真正提升生产效率的专属 AI 能力。
The gap is not model access. It is turning generic AI into dedicated capability that understands the business and improves how work gets done.
企业面对的并非“有没有模型”的问题，而是如何把通用 AI 转化为理解自身业务、能够进入流程并提升效率的专属能力。
- 01Unclear value scenarios价值场景不清晰
- 02Scattered data and knowledge数据与知识分散
- 03Workflows disconnected from systems业务流程与现有系统脱节
- 04Outputs that cannot be governedAI输出缺乏治理与可控性
- 05Pilots that cannot scale试点难以复制与规模化
企业需要的不是“又一个 AI 工具”，而是一条从业务价值出发、可部署、可治理、可持续运营的 AI 落地路径。
AI ARCHITECTURE 企业AI架构体系
Composable by design.
Governed by default.
Business Applications业务应用层
Workspaces, reports and role-based entry points
Agents & Workflows智能体与工作流层
Task planning, skill orchestration and human review
Models & Reasoning模型与推理层
Model access, reasoning services and routing
Knowledge & Rules知识与规则层
Enterprise knowledge, business rules and guardrails
Data Access数据接入层
Systems, documents, ledgers and governed data connections
TRUSTED DELIVERY 可信AI与交付方法论
Designed to be secure,
measurable and manageable.
Trusted principles 可信原则
01Local deployment本地化部署
02Data isolation数据隔离
03Role-based access权限分级
04Rule validation规则校验
05Human review人工复核
06Audit trail日志留痕
Delivery path 交付路径
1
Diagnose识别优先场景与价值
2
Co-create方案设计与原型验证
3
Pilot真实数据与岗位验证
4
Go live系统集成与组织启用
5
Operate评估、优化与规模复制
PROVEN PROJECTS 已落地AI项目
Real AI, in
real operating contexts.
Four delivered projects across justice, infrastructure audit, enterprise analytics and agent collaboration. Client, project and interface information has been anonymized for public display.
CASE 01
Justice
Legal AI Assistant司法业务智能辅助
Similar-case retrieval, reasoning support and legal-document assistance.
BUSINESS VALUEConsistent legal research & assisted decision support
CASE 02
Infrastructure
Engineering Audit AI工程稽核智能助手
Document review, rule checks and financial-audit assistance.
BUSINESS VALUEFaster review cycles & controlled risk checks
CASE 03
Enterprise
AI Digital Employee企业数智员工
Daily reporting, KPI insights and anomaly alerts for business teams.
BUSINESS VALUEQuicker management insight & exception response
CASE 04
Enterprise
Agent Skills Workspace企业智能体工作台
Reusable skills and coordinated tasks across finance, operations and marketing.
BUSINESS VALUEReusable capability across teams and workflows
WORK WITH US 合作方式
Make AI your next
business capability.
Diagnose the opportunity. Co-create the solution. Validate in the role. Operate for value.
诊断 · 共创 · 试点 · 持续运营